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The Internet of Things (IoT) refers to a system of interconnected physical objects globally linked to each other through the internet. The IoT envisions connecting trillions of smart devices in our surroundings, generating a substantial volume of data that requires processing, transmission, and storage. Ensuring the security and privacy of data in IoT poses a formidable challenge, and it is regarded as the foremost priority for numerous present and upcoming applications. Devices like WSNs, RFIDs, smartphones, etc., constitute the primary elements of IoT networks, which are essentially resource-constrained devices. The implementation design of privacy and security management schemes for these devices is influenced by several factors such as optimal performance, minimal power usage, resilience against attacks, comprehensive end-to-end security, and protection against data tampering. Security systems for the IoT thwart unauthorized access to data by safeguarding against destruction or modifications. In this study, we proposed a confidentiality algorithm that combines DNA cryptography, Genetic Algorithm (GA), and Elliptic Curve Cryptography (ECC) to form a hybrid approach. The hybrid algorithm ensures robust data confidentiality during the transmission of information for IoT. Our proposed algorithm performs better regarding key generation, encryption, and decryption time with respect to the various file sizes.
Ali et al. (Wed,) studied this question.